Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Super-resolution method using sparse regularization for point-spread function recovery. - Fred Maurice Ngolè Mboula; Jean-Luc Starck; Samuel Ronayette; Koryo Okumura; Jérôme Amiaux (CoRR, 2014)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Constraint matrix factorization for space variant PSFs field restoration. - Fred Maurice Ngolè Mboula; Jean-Luc Starck; Koryo Okumura; Jérôme Amiaux; Patrick Hudelot (CoRR, 2016)

Advanced methods and algorithm for high precision astronomical imaging. (Méthodes et algorithmes avancés pour l'imagerie astronomique de haute précision). - Fred Maurice Ngolè Mboula (2016)

PSF field learning based on Optimal Transport Distances. - Fred Maurice Ngolè Mboula; Jean-Luc Starck (CoRR, 2017)

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (CoRR, 2017)

Point Spread Function Field Learning Based on Optimal Transport Distances. - Fred Maurice Ngolè Mboula; Jean-Luc Starck (SIAM J. Imaging Sci., 2017)

Semi-supervised dual graph regularized dictionary learning. - Khanh-Hung Tran; Fred Maurice Ngolè Mboula; Jean-Luc Starck (CoRR, 2018)

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (SIAM J. Imaging Sci., 2018)

IDrISS: Intrusion Detection for IT Systems Security : Toward a semantic modelling of side-channel signals. - Fred Maurice Ngolè Mboula; Erwan Nogues (EUSIPCO, 2020)

Semi-supervised dictionary learning with graph regularization and active points. - Khanh-Hung Tran; Fred Maurice Ngolè Mboula; Jean-Luc Starck; Vincent Prost (CoRR, 2020)

Manifold attack. - Khanh-Hung Tran; Fred Maurice Ngolè Mboula; Jean-Luc Starck (CoRR, 2020)

Semisupervised Dictionary Learning with Graph Regularized and Active Points. - Khanh-Hung Tran; Fred Maurice Ngolè Mboula; Jean-Luc Starck; Vincent Prost (SIAM J. Imaging Sci., 2020)

Wasserstein Barycenter for Multi-Source Domain Adaptation. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula (CVPR, 2021)

Wasserstein Barycenter Transport for Acoustic Adaptation. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula (ICASSP, 2021)

Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Antoine Souloumiac (ECAI, 2023)

Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes. - Eduardo Fernandes Montesuma; Michela Mulas; Fred Maurice Ngolè Mboula; Francesco Corona; Antoine Souloumiac (CoRR, 2023)

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. - Fabiola Espinosa Castellon; Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Aurélien Mayoue; Antoine Souloumiac; Cédric Gouy-Pailler (CoRR, 2023)

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. - Fabiola Espinoza Castellon; Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Aurélien Mayoue; Antoine Souloumiac; Cédric Gouy-Pailler (ICASSP, 2024)

Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Antoine Souloumiac (ICASSP, 2024)

Online Multi-Source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning. - Eduardo Fernandes Montesuma; Stevan Le Stanc; Fred Ngolè Mboula (MLSP, 2024)

Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport. - Eduardo Fernandes Montesuma; Fred Ngolè Mboula; Antoine Souloumiac (ECML/PKDD (6), 2024)

Evaluating Energy-Aware Cloud Task Scheduling Techniques: A Comprehensive Dialectical Approach. - Anas Hattay; Fred Ngolè Mboula; Eric Gascard; Zakaria Yahouni (UCC, 2024)

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation. - Eduardo Fernandes Montesuma; Fabiola Espinoza Castellon; Fred Ngolè Mboula; Aurélien Mayoue; Antoine Souloumiac; Cédric Gouy-Pailler (CoRR, 2024)

Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. - Rebecca Clain; Eduardo Fernandes Montesuma; Fred Ngolè Mboula (ICASSP, 2025)

Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport. - Eduardo Fernandes Montesuma; Adel El Habazi; Fred Maurice Ngolè Mboula (Trans. Mach. Learn. Res., 2025)

Optimal Transport for Domain Adaptation through Gaussian Mixture Models. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Antoine Souloumiac (Trans. Mach. Learn. Res., 2025)

Recent Advances in Optimal Transport for Machine Learning. - Eduardo Fernandes Montesuma; Fred Maurice Ngolè Mboula; Antoine Souloumiac (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Unsupervised Dataset Dictionary Learning for domain shift robust clustering: application to sitting posture identification. - Anas Hattay; Mayara Ayat; Fred Ngolè Mboula (CoRR, 2025)